• DocumentCode
    2611932
  • Title

    Parallel algorithms and architectures for discrete relaxation technique

  • Author

    Lin, Wei-Ming ; Kumar, V. K Prasanna

  • Author_Institution
    Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    1991
  • fDate
    3-6 Jun 1991
  • Firstpage
    514
  • Lastpage
    519
  • Abstract
    Three parallel implementations based on three alternate sequential approaches are presented. The first design is a systolic array based on the known sequential method. An execution time of O(n 2m2) is achieved with nm processing elements (PEs), with each PE composed of simple logic elements. The second design employs broadcast bus feature to speed up the execution of an alternate sequential method. Linear speedup is achieved by using nm processing elements. The sequential method has an execution time of O(n2m2) and the proposed parallel design runs in O(nm) time. The third design is a modified approach which is well suited for implementation on general-purpose machines. These designs achieve superior performance compared with the existing designs in terms of their simplicity, execution time, and domain of applications. Using the proposed designs, an efficient parallel implementation of stereo matching based on linear segments as primitives is derived
  • Keywords
    computational complexity; computer vision; computerised pattern recognition; digital signal processing chips; parallel algorithms; systolic arrays; broadcast bus feature; discrete relaxation technique; execution time; linear segments; processing elements; sequential method; simple logic elements; stereo matching; systolic array; Algorithm design and analysis; Artificial intelligence; Computer architecture; Computer vision; Hardware; Labeling; Logic; Parallel algorithms; Pattern recognition; Systolic arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2148-6
  • Type

    conf

  • DOI
    10.1109/CVPR.1991.139745
  • Filename
    139745